Abstract
Postoperative evaluation of prostate brachytherapy is typically performed using CT, which does not have sufficient soft tissue contrast for accurate anatomy delineation. MR-CT fusion enables more accurate localization of both anatomy and implanted radioactive seeds, and hence, improves the accuracy of postoperative dosimetry. We propose a method for automatic registration of MR and CT images without a need for manual initialization. Our registration method employs a point-to-volume registration scheme during which localized seeds in the CT images, produced by commercial treatment planning systems as part of the standard of care, are rigidly registered to preprocessed MRI images. We tested our algorithm on ten patient data sets and achieved an overall registration error of 1.6 ± 0.8 mm with a running time of less than 20s. With high registration accuracy and computational speed, and no need for manual intervention, our method has the potential to be employed in clinical applications.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 625-628 |
| Number of pages | 4 |
| Volume | 2016-June |
| ISBN (Electronic) | 9781479923502 |
| DOIs | |
| State | Published - Jun 15 2016 |
| Event | 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic Duration: Apr 13 2016 → Apr 16 2016 |
Other
| Other | 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 4/13/16 → 4/16/16 |
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Keywords
- CT
- MRI
- Multi-Modality Registration
- Prostate Brachytherapy
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
CT and MRI fusion for postimplant prostate brachytherapy evaluation. / Dehghan, Ehsan; Le, Yi; Lee, Junghoon; Song, Danny Y; Fichtinger, Gabor; Prince, Jerry Ladd.
2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. Vol. 2016-June IEEE Computer Society, 2016. p. 625-628 7493345.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - CT and MRI fusion for postimplant prostate brachytherapy evaluation
AU - Dehghan, Ehsan
AU - Le, Yi
AU - Lee, Junghoon
AU - Song, Danny Y
AU - Fichtinger, Gabor
AU - Prince, Jerry Ladd
PY - 2016/6/15
Y1 - 2016/6/15
N2 - Postoperative evaluation of prostate brachytherapy is typically performed using CT, which does not have sufficient soft tissue contrast for accurate anatomy delineation. MR-CT fusion enables more accurate localization of both anatomy and implanted radioactive seeds, and hence, improves the accuracy of postoperative dosimetry. We propose a method for automatic registration of MR and CT images without a need for manual initialization. Our registration method employs a point-to-volume registration scheme during which localized seeds in the CT images, produced by commercial treatment planning systems as part of the standard of care, are rigidly registered to preprocessed MRI images. We tested our algorithm on ten patient data sets and achieved an overall registration error of 1.6 ± 0.8 mm with a running time of less than 20s. With high registration accuracy and computational speed, and no need for manual intervention, our method has the potential to be employed in clinical applications.
AB - Postoperative evaluation of prostate brachytherapy is typically performed using CT, which does not have sufficient soft tissue contrast for accurate anatomy delineation. MR-CT fusion enables more accurate localization of both anatomy and implanted radioactive seeds, and hence, improves the accuracy of postoperative dosimetry. We propose a method for automatic registration of MR and CT images without a need for manual initialization. Our registration method employs a point-to-volume registration scheme during which localized seeds in the CT images, produced by commercial treatment planning systems as part of the standard of care, are rigidly registered to preprocessed MRI images. We tested our algorithm on ten patient data sets and achieved an overall registration error of 1.6 ± 0.8 mm with a running time of less than 20s. With high registration accuracy and computational speed, and no need for manual intervention, our method has the potential to be employed in clinical applications.
KW - CT
KW - MRI
KW - Multi-Modality Registration
KW - Prostate Brachytherapy
UR - http://www.scopus.com/inward/record.url?scp=84978402335&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978402335&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2016.7493345
DO - 10.1109/ISBI.2016.7493345
M3 - Conference contribution
C2 - 28890754
AN - SCOPUS:84978402335
VL - 2016-June
SP - 625
EP - 628
BT - 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings
PB - IEEE Computer Society
ER -